Learning mixed membership community models in social tagging networks through tensor methods ,
A Spectral Algorithm for Latent Dirichlet Allocation, Adv. NIPS, 2012. ,
DOI : 10.1007/s00453-014-9909-1
A Spectral Algorithm for Latent Dirichlet Allocation, Algorithmica, vol.26, issue.4, pp.1204-6703, 2013. ,
DOI : 10.1007/s00453-014-9909-1
Tensor decompositions for learning latent variable models, J. Mach. Learn. Res, vol.15, pp.2773-2832, 2014. ,
Learning mixtures of separated nonspherical Gaussians, The Annals of Applied Probability, vol.15, issue.1A, pp.69-92, 2005. ,
DOI : 10.1214/105051604000000512
Learning Topic Models -- Going beyond SVD, 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science, 2012. ,
DOI : 10.1109/FOCS.2012.49
A practical algorithm for topic modeling with provable guarantees, Proc. ICML, 2013. ,
Kernel independent component analysis, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., pp.1-48, 2003. ,
DOI : 10.1109/ICASSP.2003.1202783
A probabilistic interpretation of canonical correlation analysis, 2005. ,
Method of moments for learning stochastic languages: Unified presentation and empirical comparison, Proc. ICML, 2014. ,
Latent Variable Models and Factor Analysis, 1987. ,
DOI : 10.1002/9781119970583
Statistical Factor Analysis and Related Methods: Theory and Applications, 1994. ,
DOI : 10.1002/9780470316894
Natural Language Processing with Python, 2009. ,
Modeling annotated data, Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval , SIGIR '03, 2003. ,
DOI : 10.1145/860435.860460
Latent Dirichlet allocation, J. Mach. Learn. Res, vol.3, pp.993-1022, 2003. ,
The maximum-likelihood solution in inter-battery factor analysis, British Journal of Mathematical and Statistical Psychology, vol.32, issue.1, pp.75-86, 1979. ,
DOI : 10.1111/j.2044-8317.1979.tb00753.x
Numerical Methods for Simultaneous Diagonalization, SIAM Journal on Matrix Analysis and Applications, vol.14, issue.4, pp.927-949, 1993. ,
DOI : 10.1137/0614062
Source separation using higher order moments, International Conference on Acoustics, Speech, and Signal Processing, 1989. ,
DOI : 10.1109/ICASSP.1989.266878
Independent component analysis, a survey of some algebraic methods, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96, 1996. ,
DOI : 10.1109/ISCAS.1996.540360
Blind beamforming for non-gaussian signals, IEE Proc-F, 1993. ,
DOI : 10.1049/ip-f-2.1993.0054
Jacobi Angles for Simultaneous Diagonalization, SIAM Journal on Matrix Analysis and Applications, vol.17, issue.1, pp.161-164, 1996. ,
DOI : 10.1137/S0895479893259546
Independent component analysis, A new concept? Signal Process, pp.287-314, 1994. ,
Handbook of Blind Source Separation: Independent Component Analysis and Applications, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00460653
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, 2000. ,
DOI : 10.1017/CBO9780511801389
A Jacobi-Like Method for the Automatic Computation of Eigenvalues and Eigenvectors of an Arbitrary Matrix, Journal of the Society for Industrial and Applied Mathematics, vol.10, issue.1, pp.74-88, 1962. ,
DOI : 10.1137/0110007
Simultaneous diagonalization with similarity transformation for non-defective matrices, Proc. ICASSP, 2006. ,
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics, International Journal of Computer Vision, vol.22, issue.12, pp.210-233, 2014. ,
DOI : 10.1007/s11263-013-0658-4
Learning bilingual lexicons from monolingual corpora, Proc. ACL, 2008. ,
Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions, SIAM Review, vol.53, issue.2, pp.217-288, 2011. ,
DOI : 10.1137/090771806
Canonical Correlation Analysis: An Overview with Application to Learning Methods, Neural Computation, vol.10, issue.12, pp.2639-2664, 2004. ,
DOI : 10.1093/biomet/58.3.433
RELATIONS BETWEEN TWO SETS OF VARIATES, Biometrika, vol.28, issue.3-4, pp.321-377, 1936. ,
DOI : 10.1093/biomet/28.3-4.321
Learning mixtures of spherical gaussians, Proceedings of the 4th conference on Innovations in Theoretical Computer Science, ITCS '13, 2013. ,
DOI : 10.1145/2422436.2422439
A new Jacobi-like method for joint diagonalization of arbitrary non-defective matrices, Applied Mathematics and Computation, vol.211, issue.2, pp.363-373, 2009. ,
DOI : 10.1016/j.amc.2009.01.045
Beating the perils of non-convexity: Guaranteed training of neural networks using tensor methods, 2016. ,
Calcul neuromimétique et traitement du signal: Analyse en composantes indépendantes, 1987. ,
Blind separation of sources, part I: An adaptive algorithm based on neuromimetric architecture. Signal Process, pp.1-10, 1991. ,
Bayesian exponential family projections for coupled data sources, Proc. UAI, 2010. ,
Bayesian canonical correlation analysis, J. Mach. Learn. Res, vol.14, pp.965-1003, 2013. ,
Tensor Decompositions and Applications, SIAM Review, vol.51, issue.3, pp.455-500, 2009. ,
DOI : 10.1137/07070111X
Tensor factorization via matrix factorization, Proc. AISTATS, 2015. ,
Algorithms for non-negative matrix factorization, Adv. NIPS, 2000. ,
Joint Eigenvalue Decomposition Using Polar Matrix Factorization, Proc. LVA ICA, 2010. ,
DOI : 10.1007/978-3-642-15995-4_69
URL : https://hal.archives-ouvertes.fr/hal-00910872
Machine Learning: A Probabilistic Perspective, 2012. ,
Rethinking LDA: Moment matching for discrete ICA, Adv. NIPS, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01225271
On the quadratic convergence of a generalization of the Jacobi Method to arbitrary matrices, BIT, vol.11, issue.3, pp.210-231, 1968. ,
DOI : 10.1007/BF01933422
Charrelation Matrix Based ICA, Proc. LVA ICA, 2012. ,
DOI : 10.1109/TNN.2006.875991
Charrelation and Charm: Generic Statistics Incorporating Higher-Order Information, IEEE Transactions on Signal Processing, vol.60, issue.10, pp.5089-5106, 2012. ,
DOI : 10.1109/TSP.2012.2205572
Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540112
Nonparametric estimation of multi-view latent variable models, Proc. ICML, 2014. ,
Matrix Perturbation Theory, 1990. ,
Spectral learning of mixtures of Hidden Markov Models, 2013 21st Signal Processing and Communications Applications Conference (SIU), 2014. ,
DOI : 10.1109/SIU.2013.6531340
Probabilistic Principal Component Analysis, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.61, issue.3 ,
DOI : 10.1111/1467-9868.00196
Measure transformed independent component analysis, 2013. ,
Spectral methods for Indian buffet process inference, Adv. NIPS, 2014. ,
A probabilistic framework for the hierarchic organisation and classification of document collections, Journal of Intelligent Information Systems, vol.18, issue.2/3, pp.153-172, 2002. ,
DOI : 10.1023/A:1013677411002
Inferring a semantic representation of text via crosslanguage correlation analysis, Adv. NIPS, 2002. ,
Bayesian exponential family projections, 2010. ,
Spectral methods for supervised topic models, Adv. NIPS, 2014. ,
Blind source separation via the second characteristic function. Signal Process, pp.897-902, 2000. ,